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indesign-nutria-mcp

indesign-nutria-mcp

by nutriandrea
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

image_adjust

Adjust brightness and contrast of an image on a specific InDesign page and item, correcting exposure or tone for a document. Specify page and item indexes to target the image.

Instructions

Adjust image properties (brightness, contrast, etc.)

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "pageIndex": "<pageIndex>",
      "itemIndex": "<itemIndex>"
    },
    "name": "image_adjust"
  }
}

Input Schema

NameRequiredDescriptionDefault
contrastNo
itemIndexYes
pageIndexYes
brightnessNo
document_idNoWhich open document to act on: a name (see document_listOpen) or a 0-based index. Defaults to the front document.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.6.1

TDQS

C2.6/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full behavioral burden but discloses nothing: it doesn't say whether the change is reversible, whether it requires the image to be selected, whether it mutates the underlying asset, or how the two required index parameters relate to the operation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single front-loaded sentence is appropriately sized, but the trailing '(etc.)' is vague filler that adds no information and hints at undocumented properties.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a mutation tool with zero annotations, no output schema, and five parameters (two required) at 20% coverage, the description is inadequate; an agent cannot determine targeting rules, permitted values, or the effect of the operation from it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 20% (only document_id is described). The description names brightness and contrast, which merely restates schema property names, and says nothing about the required pageIndex/itemIndex or their targeting semantics, so it fails to compensate for the coverage gap.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Adjust) and resource (image properties) with example properties. It is distinguishable from siblings like image_fit or image_place, but it does not explicitly differentiate itself from effects tools such as effect_applyTransparency that also alter image appearance.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no guidance on when to use this tool versus alternatives such as image_fit, effect_applyDropShadow, or transform tools. No prerequisites, no context for selecting it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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